M.Sc - Data Science : Syllabus & Subjects 2026: Semester-wise List, Top Colleges Syllabus PDF

M.Sc - Data Science: Course Syllabus

The Core Syllabus includes 

Semester I

• Introduction to Geospatial Technology
• Programming for Spatial Sciences
• Business Communication
• Cyber Security
• Mathematics for Spatial Sciences
• Applied Statistics
• Fundamentals of Data Science
• Python Programming
• Integrated Disaster Management. 

Semester II

• Machine learning
• Advanced Python Programming for Spatial Analytics
• Image Analytics
• Spatial Big Data and Storage Analytics
• Data Mining and Algorithms
• Spatial Data Base Management
• Flexi - Credit Course. 

Semester III

• Web Analytics
• Artificial Intelligence
• Flexi - Credit Course
• Spatial Modeling
• Summer Project
• Predictive Analytics and Development. 

Semester IV

• Industry Project
• Research Work. 

M.Sc Data Science Electives

• Exploratory Data Analysis
• Multivariate Analysis
• Stochastic Process
• Programming for Data Science in R
• Hadoop
• Image and Video Analytics
• Internet of Things
• Deep Learning
• System Dynamics Simulation
• IOT Spatial Analytics
• Spatial User Interface Design and Implementation
• Research Modelling and Implementation Genomics
• Identification and Data Collection.